How do you measure the success of an AI agent?
Through clearly defined KPIs that are set before launch. Typical metrics: throughput time per case, automation rate, error rate, escalation rate, cost per transaction, user satisfaction.
Additionally, we measure model performance: response quality, hallucination rate, latency. What matters is the comparison with the manual process. An agent does not need to be perfect — it needs to be better than the status quo and improve in a controlled manner.
Ready when you are
Zukunft beginnt, wenn menschliche Intelligenz künstliche Intelligenz entwickelt. Der erste Schritt ist nur ein Klick.
Since 2017, we have been building AI systems that transform businesses. Let's talk about yours.
